MediaTeam Speech Corpus: a first large Finnish emotional speech database

نویسندگان

  • Tapio Seppänen
  • Juhani Toivanen
  • Eero Väyrynen
چکیده

In this paper, a large Finnish emotional speech database is introduced. The database contains simulated emotional speech, reflecting some of the affective states commonly known as basic emotions. The database has been analyzed instrumentally in terms of some 40 acoustic/prosodic parameters, and is currently being annotated in terms of a number of linguistically relevant contrasts. The annotation involves several hierarchical tiers, relating, for example, to the distribution of sentence accents and different types of pauses in the data. Furthermore, listening tests at several levels of abstraction are being carried out to verify that the speech samples contain the intended emotions. Once the analysis is complete, the results can be utilized in content-based information retrieval from audio databases,

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Creation and utilisation of the MediaTeam Emotional Speech Corpus

The MediaTeam Emotional Speech Corpus is currently the largest database of emotional speech for colloquial modern Finnish, containing simulated emotional content. The specific aim of the research is to investigate in detail the phonetic and phonological/linguistic correlates of basic or primary emotions in spoken Finnish, to develop statistical classification methods of emotional speech signals...

متن کامل

Automatic recognition of emotions in spoken Finnish : preliminary results and applications

In this paper, research on the automatic recognition of basic emotions in spoken Finnish is reported. The investigation was carried out utilizing the MediaTeam Emotional Speech corpus, which is currently the largest emotional speech database for Finnish. In this investigation, three experiments were carried out. In the first two experiments, mainly speaker-dependent automatic classification of ...

متن کامل

A Database for Automatic Persian Speech Emotion Recognition: Collection, Processing and Evaluation

Abstract   Recent developments in robotics automation have motivated researchers to improve the efficiency of interactive systems by making a natural man-machine interaction. Since speech is the most popular method of communication, recognizing human emotions from speech signal becomes a challenging research topic known as Speech Emotion Recognition (SER). In this study, we propose a Persian em...

متن کامل

Prosody-based classification of emotions in spoken finnish

An emotional speech corpus of Finnish was collected that includes utterances of four emotional states of speakers. More than 40 prosodic features were derived and automatically computed for the speech samples. Statistical classification experiments with kNN classifier and human listening tests indicate that emotion recognition performance comparable to human listeners can be achieved.

متن کامل

Recognizing the Emotional State Changes in Human Utterance by a Learning Statistical Method based on Gaussian Mixture Model

Speech is one of the most opulent and instant methods to express emotional characteristics of human beings, which conveys the cognitive and semantic concepts among humans. In this study, a statistical-based method for emotional recognition of speech signals is proposed, and a learning approach is introduced, which is based on the statistical model to classify internal feelings of the utterance....

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003